Question 1

Is MAT3373 hard at uOttawa?

Accepted Answer

Based on 6 student reviews, MAT3373 has a high challenge level (70/100). Grade accessibility is very high (100/100), meaning most students earn A or B grades.

Question 2

How many hours per week is MAT3373?

Accepted Answer

Students report a high time investment (70/100). Expect to spend approximately 10-15 hours per week on coursework, including lectures, assignments, and studying.

Question 3

What is the grading like in MAT3373?

Accepted Answer

Grade accessibility for MAT3373 is rated 100/100. The grade distribution across student reports is: A: 100%. The course is assessed primarily through mixed methods.

Question 4

Is attendance mandatory for MAT3373?

Accepted Answer

Attendance importance is rated 0/100. Attendance is generally not mandatory, though going to class is always beneficial.

Question 5

What type of assignments does MAT3373 have?

Accepted Answer

MAT3373 is classified as "Mixed" based on student feedback. Common themes from student reviews include: lots of homework, lecture heavy, clear grading criteria, graded by few things. The challenge level is high (70/100).

Question 6

Would students recommend MAT3373?

Accepted Answer

50% of students would recommend MAT3373. Student satisfaction is rated 63/100. Opinions are mixed, with roughly half of students recommending the course.

MAT3373: Methods of Machine Learning

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